Comparison of ANN based Models for Path Loss Prediction in Indoor Environment

被引：0

作者：

Popescu, Ileana ^{[1
]}

Nikitopoulos, Dimitris ^{[1
]}

Constantinou, Philip ^{[1
]}

Nafornita, Ioan ^{[2
]}

机构：

[1] Natl Tech Univ Athens, Mobile Radiocommun Lab, Athens, Greece

[2] Univ Politecn Timisoara, Dept Commun, Timisoara, Romania

来源：

2006 IEEE 64TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6 | 2006年

关键词：

wireless communications; artificial neural networks; indoor channel characterization; path loss models; propagation prediction;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work presents the results of the studies concerning the application of the neural networks to the propagation path loss prediction in indoor environment. The proposed models consist of a Multilayer Perceptron and a Generalized Regression Neural Network trained with measurements. The results of the prediction made by the proposed neural models show a good agreement with the measurements.

引用

页码：154 / +

页数：2

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